Individual skill
rt-execution-bridge
Use when an empirical analysis should be RUN and audited, not just advised — DiD, IV, RDD, synthetic control, DML, multiple-testing, sensitivity. Maps the design to the concrete StatsPAI / Stata MCP tools in this environment and reports the fitted, audited number. Defers result placement and house style to the target journal's pack.
Research-Toolkit-Skills/skills/rt-execution-bridge/SKILL.md
Source commit 932eb23331721b16e967c59f093781be1928b498
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,409
- Repository last updated
- Sep 27, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- academic-writing Repository topic
- agent-skills Repository topic
- journal Repository topic
- academic-research Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- awesome-list Repository topic
- claude Repository topic
- claude-code Repository topic
- economics Repository topic
- design Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 2,887 bytes
Read excerpt
# Execution Bridge (rt-execution-bridge)
Close the last mile: turn "you should use a heterogeneity-robust DiD / weak-IV-robust CI /
multiple-testing correction" into an actual fitted, audited estimate. Full map +
orchestration spine + validated worked-examples (DiD / IV / RDD / synthetic-control / DML):
[`shared-resources/empirical-methods/execution-with-mcp.md`](../../../shared-resources/empirical-methods/execution-with-mcp.md).
## When to trigger
- You have data and a design and need the actual estimate + its diagnostics.
- A reviewer objection (real or simulated) needs an executed answer (e.g. "TWFE is biased
under staggered adoption" → run Callaway–Sant'Anna + Goodman-Bacon).
## The spine (always)